Remotely sensed assessment of water quality levels in the Pearl River Estuary, China
Författare
Summary, in English
In this paper, a method of assessing water quality from satellite data is introduced. The composite pollution index (CPI) was calculated from measured chemical oxygen demand (COD) and nutrient concentration. The relationships between CPI and 240 band combinations of SeaWiFS water-leaving radiance were analyzed and the optimal band combination for estimating CPI was chosen from the 240 band combinations. An algorithm for retrieval of CPI was developed using the optimal band combination, (L-443 x L-510)/ (L-412 + L-490). The CPI was estimated from atmospherically corrected SeaWiFS data by employing the algorithm. Furthermore, the CPI value range for each water quality level was determined based on data obtained from 850 samples taken in the Pearl River Estuary. The remotely sensed CPIs were then transferred to water quality levels and appropriate maps were derived. The remotely sensed water quality level maps displayed a similar distribution of levels based on in situ investigation issued by the State Ocean Administration, China. This study demonstrates that remote sensing can play an important role in water quality assessment. (C) 2007 Elsevier Ltd. All rights reserved.
Avdelning/ar
Publiceringsår
2007
Språk
Engelska
Sidor
1267-1272
Publikation/Tidskrift/Serie
Marine Pollution Bulletin
Volym
54
Issue
8
Länkar
Dokumenttyp
Artikel i tidskrift
Förlag
Elsevier
Ämne
- Water Engineering
Nyckelord
- water quality level
- remote sensing
- assessment
- pearl river estuary
Status
Published
ISBN/ISSN/Övrigt
- ISSN: 1879-3363